Teanga Data Model for Linked Corpora
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A363UVWTB" target="_blank" >RIV/00216208:11320/25:363UVWTB - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195188593&partnerID=40&md5=c259ede480c7ff562ce1f5da65e14a66" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195188593&partnerID=40&md5=c259ede480c7ff562ce1f5da65e14a66</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Teanga Data Model for Linked Corpora
Original language description
Corpus data is the main source of data for natural language processing applications, however no standard or model for corpus data has become predominant in the field. Linguistic linked data aims to provide methods by which data can be made findable, accessible, interoperable and reusable (FAIR). However, current attempts to create a linked data format for corpora have been unsuccessful due to the verbose and specialised formats that they use. In this work, we present the Teanga data model, which uses a layered annotation model to capture all NLP-relevant annotations. We present the YAML serializations of the model, which is concise and uses a widely deployed format, and we describe how this can be interpreted as RDF. Finally, we demonstrate three examples of the use of the Teanga data model for syntactic annotation, literary analysis and multilingual corpora. © 2024 ELRA Language Resource Association.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop Linked Data Linguist.: Resour., Appl., Best Pract., LDL LREC-COLING - Workshop Proc.
ISBN
978-249381438-8
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
66-74
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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